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Middle School Students' Motivations and Learning Competencies in Science: Mediating Role of Digital Literacy
No full textScience learning motivation refers to the drive and enthusiasm that students exhibit towards learning science. Science learning competencies, on the other hand, are the skills and knowledge enabling students to understand and apply scientific concepts effectively. Digital literacy, defined as the ability to effectively use digital tools and resources, has emerged as a crucial skill in modern education. Digital literacy can bridge the gap between motivation and competencies by providing students with the tools they need to engage more deeply with scientific content. Given its significance, exploring the mediating role of digital literacy in the relationship between science learning motivation and competence is essential. Hence, we aimed to test the mediating role of digital literacy in the relationship between middle school students' science learning motivation and science learning competencies. To test these relations, we adopted the correlation design of the quantitative research method. The sample consisted of 471 middle school students. Science learning motivation scale, competence scale for learning science, and digital literacy scale were used to collect data. The hypothesis model was tested by using covariance-based structural equation modeling (CB-SEM). The results showed that science learning motivation is correlated with students' science learning competency (r = 0.891, p < 0.05) and digital literacy (r = 0.538, p < 0.05). Also, digital literacy partially mediates the relation between science learning motivation and science learning competency (r = 0.757, p < 0.05). These findings highlight the importance of fostering digital literacy in educational settings to enhance students' motivation and competency in science learning. Educators and policymakers should integrate digital tools and resources into the curriculum to create a more engaging and effective learning environment, thereby bridging the gap between students' motivation and their ability to master scientific concepts
Approximation of the set of integrable trajectories of the control system with limited control resources
No full textApproximation of the set of trajectories of a control system described by Urysohn type integral equation is studied. It is assumed that the system is affine with respect to the control vector and is nonlinear with respect to the state vector. As the set of admissible control functions, the closed ball centred at the origin with radius r of the space (Formula presented.), (Formula presented.) is chosen, where (Formula presented.) is a compact set. The trajectory of the system is defined as a multivariable integrable function from the space (Formula presented.) satisfying the system's equation almost everywhere, where (Formula presented.). An approximation of the set of trajectories by a set, consisting of a finite number of trajectories and generated by piecewise constant control functions, is presented. Convergence of the approximating sets of trajectories is proved
Psychometric Properties of the Peripartum Depression Predictors Scale
No full textObjective: Postpartum depression, one of the most common childbirth‐related complications, affects one in five women, yet half of the cases go unnoticed. Therefore, screening tools are needed to early identify women at risk of postpartum depression. The present research was conducted to develop the Peripartum Depression Predictors Scale (PDPS) and assess its validity and reliability. Methods: This study was designed as methodological research. Pregnant women (n = 482) who underwent prenatal care at a training and research hospital in Türkiye between March and June 2023 participated in the study. The reliability analyses of the scale were performed using Cronbach's alpha and the split‐half reliability coefficients. Exploratory and confirmatory factor analyses were conducted for construct validity. Results: The items with total correlation values lower than 0.30 were excluded from the analysis. A five‐factor structure consisting of 21 items was obtained through exploratory factor analysis. The explained variance of the scale was determined as 55.785%. According to the results of the first‐order multifactor analysis, the goodness of fit indices of the scale indicated a perfect fit (RMSEA = 0.044; χ2(CMIN/DF) = 1.923; GFI = 0.972; AGFI = 0.964). The Cronbach’s alpha value was 0.836 for the entire scale and ranged between 0.603 and 0.825 for the subscales. Conclusion: It was found that the PDPS is a valid and reliable measurement instrument. The scale can be utilized to determine the predictors of peripartum depression during any stage of pregnancy and to identify the risk for postpartum depression
Emniyet Teşkilatında Güvenlik Teknolojilerinin Kullanımı: Türkiye'de Seçilmiş Şehirler Üzerinden Karşılaştırmalı Bir Analiz
No full textBu çalışma, Türkiye'ninfarklı bölgelerinden seçilen büyükşehirlerdeki emniyet teşkilatlarının güvenlikteknolojilerini hangi düzeyde ve hangi işlevlerle kullandığını karşılaştırmalıolarak analiz etmeyi amaçlamaktadır. 21. yüzyılda dijitalleşmenin hızkazanmasıyla birlikte kamu güvenliği hizmetlerinde teknolojik araçların rolügiderek artmış ve güvenlik hizmetlerinin etkinliğini artırmada önemli bir unsurhâline gelmiştir. Bu doğrultuda suçun önlenmesi, olaylara müdahale, olaysonrası araştırma/soruşturma ve denetim/izleme olmak üzere dört temel işlevsel kategoribelirlenmiş; İstanbul, Ankara, İzmir, Antalya, Gaziantep, Erzurum ve Diyarbakırillerinde bu alanlara yönelik teknolojik uygulamaların düzeyideğerlendirilmiştir. Araştırma içerik analizi yöntemiyle yürütülmüş ve şehirlerarası farkların altyapı, insan kaynağı, teknik donanım ve yerel ihtiyaçlarabağlı olarak şekillendiği belirlenmiştir. Elde edilen bulgular, Türkiye’degüvenlik teknolojilerinin emniyet teşkilatları tarafından kullanımında önemli farklılıklarolduğunu göstermektedir. Sonuç olarak yerel koşulları gözeten, dengeli ve sürdürülebilirteknoloji kullanımına yönelik stratejilerin geliştirilmesi gerektiği vurgulanmaktadır.Anahtar Kelimeler:Güvenlik Teknolojileri, Emniyet Teşkilatı, Kamu Güvenliği, İçerik Analizi</p
From biopolymer matrix to medicine: the drug delivery dynamics of amoxicillin-loaded PVA/SA/ZnONPs hydrogels
No full textThis research presents a comprehensive study of Polyvinyl alcohol/Sodium alginate/Zinc oxide nanoparticles (PVA/SA/ZnONPs) and PVA/SA/ZnONPs/Amoxicillin (AMX) hydrogels, demonstrating their potential for various biomedical applications. A comparative analysis of their swelling behavior, in vitro biodegradation, antibacterial properties, and drug release profiles was performed. The hydrogels demonstrated distinct swelling characteristics, with the PVA/SA/ZnONPs/AMX hydrogel showing a higher initial swelling ratio. This behavior, likely due to the increased hydrophilicity from AMX, subsequently decreased over time, indicating AMX release into the environment. The biodegradation study highlighted a faster degradation rate for the PVA/SA/ZnONPs/AMX hydrogel, suggesting its suitability for applications requiring rapid degradation, such as drug delivery systems. Regarding antibacterial properties, the PVA/SA/ZnONPs/AMX hydrogel showed significant antibacterial activity against both Escherichia coli and Staphylococcus aureus, making it a strong candidate for biomedical applications necessitating antibacterial activity. Additionally, the drug release study presented a gradual and controlled release of AMX from the hydrogels over time, demonstrating their potential for sustained drug delivery applications. This research underscores the potential of PVA/SA/ZnONPs/AMX hydrogel, particularly for biomedical applications, especially in wound healing and drug delivery domains, given its potent antibacterial properties and controlled drug release behavior